Retrieval-Augmented Generation (RAG) Explained: A Beginner’s Guide
A beginner’s guide to RAG – the technique that keeps AI answers grounded in real, current data.
#LargeLanguageModel
Explore AIstify's latest reporting, research, and expert analysis tagged with "large language model", collected in one continuously updated archive.
Related Posts
Small Language Models (SLMs) Explained: a Beginner’s Guide
Small language models trade raw power for efficiency, making them the practical choice when speed and cost matter more than scale.
Reasoning Model
A reasoning model is optimized to spend additional computation on complex problems before returning an answer or action.
Meta to Replace 90% of Content Moderators With AI by Year-End
By
Samantha Reed
• 2 mins read
Meta plans to replace more than 90% of its content review workforce with AI by the end of 2026, placing the majority of its ads and content moderation under the control of large language models.
OpenAI and Broadcom Unveil Jalapeño Custom AI Inference Chip
By
Olivia Grant
• 2 mins read
OpenAI and Broadcom have unveiled Jalapeño, OpenAI’s first custom AI accelerator chip designed specifically for large language model inference.
TurboQuant: Google’s New Way to Run AI Faster with Less Memory
By
Daniel Mercer
• 3 mins read
Google has introduced TurboQuant, a new compression algorithm that reduces memory usage in AI systems while maintaining accuracy, improving performance in large models and search.
Telling AI It’s an ‘Expert’ Might Actually Make It Worse, Study Finds
By
Laura Bennett
• 3 mins read
New research shows that telling AI models they are “experts” can reduce accuracy in tasks like coding and math, while improving safety and alignment outcomes.
Conversational AI Explained: A Beginner’s Guide
By
Daniel Mercer
• 6 mins read
Conversational AI enables computers to communicate with people through natural language conversations. This guide explains how conversational AI works and where it is used.
Agentic AI Explained: A Beginner’s Guide
By
Daniel Mercer
• 7 mins read
Agentic AI refers to artificial intelligence systems that can plan actions, make decisions, and complete tasks with minimal human guidance. This guide explains how agentic AI works and why it matters.
AMI Labs Lands $1.03 Billion to Develop Real-World Learning AI Systems
By
Daniel Mercer
• 1 min read
AMI Labs, co-founded by Yann LeCun, raised $1.03 billion to develop “world model” AI systems that learn from real-world data rather than language alone.
What is Natural Language Processing: a Beginner’s Guide
By
Daniel Mercer
• 7 mins read
Natural Language Processing allows computers to understand, analyze, and generate human language. This guide explains how NLP works and where it is used in modern technology.
Autonomous AI Agents Explained: a Beginner’s Guide
By
Daniel Mercer
• 7 mins read
Autonomous AI agents are systems that can plan tasks, make decisions, and act with minimal human supervision. This guide explains how autonomous AI agents work and where they are used.
What is AI Agent: a Beginner’s Guide
By
Daniel Mercer
• 7 mins read
AI agents are systems that can perceive information, make decisions, and perform tasks automatically. This guide explains what AI agents are, how they work, and where they are used.
What is a Deep Learning System: A Beginner’s Guide
By
Daniel Mercer
• 7 mins read
Deep learning systems power many modern AI technologies, from image recognition to chatbots. This guide explains how deep learning works and why it is important for artificial intelligence.
Large Language Models (LLMs) Explained: a Beginner’s Guide
By
Daniel Mercer
• 7 mins read
Large Language Models, or LLMs, power many modern AI tools such as chatbots and writing assistants. This guide explains how they work, how they are trained, and where they are used.